Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition
A novel noise filtering algorithm based on ensemble empirical mode decomposition (EEMD) is proposed to remove artifacts in electrocardiogram (ECG) traces. Three noise patterns with different power—50 Hz, EMG, and base line wander – were embedded into simulated and real ECG signals. Traditional IIR f...
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| Format: | Article |
| Language: | English |
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MDPI AG
2010-06-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/10/6/6063/ |
| _version_ | 1828350211154509824 |
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| author | Kang-Ming Chang |
| author_facet | Kang-Ming Chang |
| author_sort | Kang-Ming Chang |
| collection | DOAJ |
| description | A novel noise filtering algorithm based on ensemble empirical mode decomposition (EEMD) is proposed to remove artifacts in electrocardiogram (ECG) traces. Three noise patterns with different power—50 Hz, EMG, and base line wander – were embedded into simulated and real ECG signals. Traditional IIR filter, Wiener filter, empirical mode decomposition (EMD) and EEMD were used to compare filtering performance. Mean square error between clean and filtered ECGs was used as filtering performance indexes. Results showed that high noise reduction is the major advantage of the EEMD based filter, especially on arrhythmia ECGs. |
| first_indexed | 2024-04-14T01:21:42Z |
| format | Article |
| id | doaj.art-6a14dfba2c734d7795bf6a5d5bde4a7e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:21:42Z |
| publishDate | 2010-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6a14dfba2c734d7795bf6a5d5bde4a7e2022-12-22T02:20:36ZengMDPI AGSensors1424-82202010-06-011066063608010.3390/s100606063Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode DecompositionKang-Ming ChangA novel noise filtering algorithm based on ensemble empirical mode decomposition (EEMD) is proposed to remove artifacts in electrocardiogram (ECG) traces. Three noise patterns with different power—50 Hz, EMG, and base line wander – were embedded into simulated and real ECG signals. Traditional IIR filter, Wiener filter, empirical mode decomposition (EMD) and EEMD were used to compare filtering performance. Mean square error between clean and filtered ECGs was used as filtering performance indexes. Results showed that high noise reduction is the major advantage of the EEMD based filter, especially on arrhythmia ECGs.http://www.mdpi.com/1424-8220/10/6/6063/arrhythmia ECGensemble empirical mode decompositioncomposite noisefilter |
| spellingShingle | Kang-Ming Chang Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition Sensors arrhythmia ECG ensemble empirical mode decomposition composite noise filter |
| title | Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition |
| title_full | Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition |
| title_fullStr | Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition |
| title_full_unstemmed | Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition |
| title_short | Arrhythmia ECG Noise Reduction by Ensemble Empirical Mode Decomposition |
| title_sort | arrhythmia ecg noise reduction by ensemble empirical mode decomposition |
| topic | arrhythmia ECG ensemble empirical mode decomposition composite noise filter |
| url | http://www.mdpi.com/1424-8220/10/6/6063/ |
| work_keys_str_mv | AT kangmingchang arrhythmiaecgnoisereductionbyensembleempiricalmodedecomposition |